Examples of Key Scientific Achievements of IC0806:
  • Czech and Italian partners from the IntelliCIS Action developed theoretical results on distributed computational systems which include neural networks, radial and kernel models, and fuzzy systems. On the basis of theoretical results, hybrid machine-learning algorithms were designed, their software implementation was realized, and its functionality was verified on infrastructure data.
  • Researchers from the University of Cyprus, Politecnico di Milano, University of Birmingham and Universitat Politecnica Catalunya have developed novel methodologies for cognitive fault detection and isolation in large scale complex systems. 
  • Development of the BIO-KSY tool that performs monitoring of the refinery plant critical process, and is better than the available tools. Developed by the University of Coruña and the University of Salamanca.
  • Development of a novel algorithm for electric power system one-line diagram generation. The algorithm was developed by organizations Faculty of technical sciences, Novi Sad, Serbia and Budapest University of Technology and Economics, Budapest, Hungary. Results published at the IEEE International Energy Conference & Exhibition, Florence, Italy, 9-12 September, 2012.
  • Following discussions within the Working Group in Power Systems, the RWTH Aachen University team decided to focus their research intensively in the area of Grid Monitoring. In particular, it was decided that it was important to investigate the role of Phasor Measurement Units (PMUs) in distribution grids. As a result of this research direction, the RWTH group, in collaboration with researchers from the University of Cagliari, recently submitted a patent for a new type of PMU customized for Distribution Grids. This PMU will now be applied in a new EU project recently funded as part of the EEGI and called IDE4L.
  • Researchers from the University of Cyprus and Universitat Politecnica Catalunya are working on developing novel methodologies for fault tolerant control of dynamical systems.
  • IntelliCIS partners ETH and KTH collaborated on projects related to the cyber-security of electrical energy transmission systems. The results include methods for impact analysis of attacks on the Automatic Generation Control system and fault detection and isolation methods to identify the onset of such attacks. A patent arising from this work was short-listed for the ETH SPARK innovation award.
  • Development of a bioinpired robust controller that performs monitoring of the combined cycle plant critical process, and is better than the available tools. Developed by the University of Coruña and the University of Salamanca.
  • Development of three different approaches to mitigate distributed denial of service attacks in network-based control systems. Developed by KU Leuven, inspired by discussions at IntelliCIS workshops.
  • Development of a massively distributed Intrusion Detection System, for consumer-oriented access networks (DSL, GPON), developed by University of Coimbra for Portugal Telecom (telecommunications operator) and inspired by the discussions at the IntelliCIS workshops.
  • Researchers from the University of Cyprus and the University Politehnica of Bucharest have determined novel ways to model the measurement and transmission line parameter uncertainty in power system state estimators, as well as developed a methodology for incorporating variable weights (instead of constant weights), to more accurately determine the states of power systems.
  • Architecture and development of an Intrusion Detection System (IDS) in wireless sensor networks (WSN). The logic design is based on a WPM (Weak Process Model) based approach to model system behavior and a lightweight modified Viterbi algorithm to detect all possible behavioral patterns; alarms are generated according to scores associated to each pattern. The architecture design is agent-based, where the dynamic portion of IDS logic (i.e., the part specific to cluster heads in a dynamical WSN topology) is implemented through mobile agents, while the static part (i.e., the part shared by all nodes) resides directly on nodes and is implemented through SW modules embedded into a middleware platform. SW development was based on the Agilla middleware, wherein several improvements were made, e.g., porting of the platform on TinyOS 2.x. Experimental validations on a real test-bed have been performed. Lead partner: University of L'Aquila.
  • Cryptographic schemes for WSN. The logic design is based on the concept of “topology authenticated” symmetric keys generated through an asymmetrical scheme. Only pairs of topologically authenticated nodes can share a common key to encrypt / decrypt messages. The base version of the proposed scheme exploits vector algebra over finite fields. The upgraded version exploits standard cryptographic hash functions for node authentication and introduces a one-shot mechanism to transmit ephemeral key components. An alternative version exploits elliptical cryptography to preserve security even using smaller sized cryptographic keys. Various schemes have been first test through simulations and then implemented on real test-beds in both TinyOS 1.x and 2.x: they can be run on all motes supporting this OSs. Both computational complexity and power consumption are investigated. Lead partner: University of L'Aquila.
  • Researchers from the University of Cyprus and the University of Manchester have developed a new hybrid state estimator (incorporating both conventional and synchronized measurements) that outperforms the conventional state estimator in electric power systems.
  • Researchers from the University of Cyprus and the University of Manchester have developed a new clustering algorithm for grouping generators in order to improve the performance and stability of power systems in cases of islanding due to faults.
  • Development of a novel methodology for controlling the refinery plant critical infrastructure and it improves the response time by using a rule base system and neural networks.
  • A novel system engineering methodology has been developed for purposes of designing optimal ICT architectures supporting energy systems. In particular virtual aggregations of DERs and efficient integration of electrical vehicles in the energy system.
  • Researchers from the School of Electrical Engineering and the School of Computer Science at the University of Manchester started collaborating due to IntelliCIS and developed a novel machine learning algorithm for ferroresonance detection and identification. The algorithm outperforms existing state-of-the-art methods in terms of the test data sets in hand. A paper is planned to publish this work.
  • Development of the DBES (Distributed Building Evacuation System) tool that performs simulation of a physical critical infrastructure, including the communication and sensor systems, developed at Imperial College. It won a NATO Best Paper Award, and was selected competitively for demonstration to the UK Home Office for simulating security at Canary Wharf. The Imperial College Team has published several papers in this area. During 2011, a collaboration with the company MBDA UK Ltd and funded by EPSRC allowed the DBES tool to be applied to scenarios of interest to the defense sector.
  • Development of a “Cyber Intrusion Detection Layer” for SCADA systems specifically focused in electricity distribution grids and the supporting telecommunications networks, by University of Coimbra and ENEA.
  Last Update: April 18, 2013